Transcription of Rob J. Hyndman
{{id}} {{{paragraph}}}
Example: stock market
Rob J. Hyndman
Forecasting:Principles & PracticeLeader: Rob J Hyndman23-25 September 2014 University of Western Introduction to Introduction .. Some case studies .. Time series data .. Some simple forecasting methods .. Lab Session 1 .. 132 The forecaster s Time series graphics .. Seasonal or cyclic? .. Autocorrelation .. Forecast residuals .. White noise .. Evaluating forecast accuracy .. Lab Session 2 .. 323 Exponential The state space perspective .. Simple exponential smoothing .. Trend methods .. Seasonal methods .. Lab Session 3 .. Taxonomy of exponential smoothing methods.
[13] 3075.70 3180.60 3221.60 3176.20 3430.60 3527.48 [19] 3637.89 3655.00 Main package used in this course > library(fpp) This loads: •some data for use in examples and exercises • forecast package (for forecasting functions) • tseries package (for a few time series functions) • fma package (for lots of time series data)
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: